Systems and methods configuring a unified threat machine learning model for joint content and user threat detection
US11303665B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 15, 2021 |
| Grant date | Apr 12, 2022 |
| Priority date | — |
| Expiry date | Jun 15, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L63/1425
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A machine learning-based system and method for identifying digital threats includes a threat service that: implements a unified threat model that produces a unified threat score that predicts both of: a level of threat of a piece of online content, and a level of threat that a target user will create a harmful piece of online content; wherein: implementing the unified threat model includes: receiving event data comprising historical content data for the target user and content data of the pending piece of online content and historical user digital activity data and real-time user activity data; and providing input of content feature data and user digital activity feature data to the unified threat model; and the unified threat model produces the unified threat score based on the content and the user digital activity data; and computes a threat mitigation action based on an evaluation of the threat score.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.